Token Cut vs Confidential AI

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Token Cut compared with Confidential AI
Detail	Token Cut	Confidential AI
What it does	Intelligent model routing that cuts LLM token costs and latency	Private AI inference and confidential GPU computing infrastructure
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Paid	Paid
Pricing	Pay-as-you-go with 1% service fee. Cheap Tasks: $0.000043–$0.000194 per reference request. Standard Tasks: $0.000225–$0.000838 per reference request. Reasoning Tasks: $0.00066–$0.0023 per reference request. Frontier Tasks: $0.0023–$0.0354 per reference request. Agentic Tasks: $0.0071–$0.0354 per ref	Confidential Inference: DeepSeek V4.1 Flash $0.30 input and $1.20 output per 1M tokens; Kimi K3 $3.00 input and $15.00 output per 1M tokens; GLM 5.3 $1.40 input and $4.40 output per 1M tokens; Qwen3.8 27B $0.30 input and $1.80 output per 1M tokens. Confidential VMs: B300 at $7.50 per GPU-hour, B200
Key features	Automatic task classification with Jev decision model Multi-provider model access (OpenRouter, Kie.ai, Replicate, fal.ai) Lowest-price eligible model selection Support for text, image, video and audio modalities Budget limits and provider filtering Transparent billing and cost tracking Three question types: Choice, Score and Noul Pay-as-you-go pricing with no subscription	OpenAI-compatible endpoint for private LLM inference Hardware-encrypted VMs on Intel TDX, AMD SEV-SNP and NVIDIA GPUs Client attestation verification before sending requests Support for multiple open-weight models including DeepSeek, Kimi, GLM, Qwen Confidential Kubernetes for data center scale deployments Confidential training and fine-tuning on licensed stack Root access over SSH to confidential VMs Encrypted GPU communications with NVLink encryption on B200 and B300 Confidential agents runtime support Prompt caching with cached input billing
What makes it different	Jev decision model automatically matches tasks to appropriate capability tiers instead of fixed frontier model routing Reduces costs by up to 43.9% on illustrative workloads compared to fixed-model routing Single API key for four different providers with unified billing Works with multiple modalities and use cases like triage, classification and gating	Prompts and model weights verified by clients with cryptographic attestation before any data is sent Operator-blind inference: data remains unreadable to the company and hosting provider Flexible deployment: choice of hosted cloud, rented VMs, or licensed stack on own infrastructure Open-weight models only, no closed-source frontier models Full cryptographic verification stack including open-source tools
Community votes	0	0
DR (Domain Rating by Ahrefs)	5 no change since last check	12 +1 (up) since last check
Trust Flow (Majestic)	4	7
Citation Flow (Majestic)	19	26
Referring domains (Majestic)	11	36

5 details filled in for both companies.

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